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Showing 1 to 15 of 31 results Save | Export
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Gignac, Gilles E.; Watkins, Marley W. – Multivariate Behavioral Research, 2013
Previous confirmatory factor analytic research that has examined the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) has endorsed either higher order models or oblique factor models that tend to amalgamate both general factor and index factor sources of systematic variance. An alternative model that has not yet…
Descriptors: Intelligence Tests, Test Reliability, Factor Structure, Models
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de Winter, J. C. F.; Dodou, D.; Wieringa, P. A. – Multivariate Behavioral Research, 2009
Exploratory factor analysis (EFA) is generally regarded as a technique for large sample sizes ("N"), with N = 50 as a reasonable absolute minimum. This study offers a comprehensive overview of the conditions in which EFA can yield good quality results for "N" below 50. Simulations were carried out to estimate the minimum required "N" for different…
Descriptors: Sample Size, Factor Analysis, Enrollment, Evaluation Methods
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Marsh, Herbert W.; Hau, Kit-Tai; Balla, John R.; Grayson, David – Multivariate Behavioral Research, 1998
Whether "more is ever too much" for the number of indicators per factor in confirmatory factor analysis was studied by varying sample size and indicators per factor in 35,000 Monte Carlo solutions. Results suggest that traditional rules calling for fewer indicators for smaller sample size may be inappropriate. (SLD)
Descriptors: Factor Structure, Monte Carlo Methods, Research Methodology, Sample Size
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Siegert, Richard J.; And Others – Multivariate Behavioral Research, 1988
A study concluding that the Wechsler Adult Intelligence Scale (Revised) (WAIS-R) has three clear factors in its structure is critiqued. An alternative factor comparison technique, FACTOREP, is used with identical data. It is demonstrated that the WAIS-R has only two strong factors--verbal comprehension and perceptual organization. (TJH)
Descriptors: Factor Analysis, Factor Structure, Intelligence Tests, Item Analysis
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Cliff, Norman; Caruso, John C. – Multivariate Behavioral Research, 1998
Examines the factor structure of the Wechsler Adult Intelligence Scale-Revised across nine age groups using several methods of factor analysis, including reliable component analysis (RCA). Factor structure is discussed, and the usefulness of the RCA method is demonstrated. (SLD)
Descriptors: Adults, Age Differences, Factor Analysis, Factor Structure
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Hakstian, A. Ralph; And Others – Multivariate Behavioral Research, 1982
Issues related to the decision of the number of factors to retain in factor analyses are identified. Three widely used decision rules--the Kaiser-Guttman (eigenvalue greater than one), scree, and likelihood ratio tests--are investigated using simulated data. Recommendations for use are made. (Author/JKS)
Descriptors: Algorithms, Data Analysis, Factor Analysis, Factor Structure
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Zwick, William R. – Multivariate Behavioral Research, 1982
The performance of four rules for determining the number of components (factors) to retain (Kaiser's eigenvalue greater than one, Cattell's scree, Bartlett's test, and Velicer's Map) was investigated across four systematically varied factors (sample size, number of variables, number of components, and component saturation). (Author/JKS)
Descriptors: Algorithms, Data Analysis, Factor Analysis, Factor Structure
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Rahim, M. Afzalur; Magner, Nace R. – Multivariate Behavioral Research, 1996
Results of confirmatory factor analysis of data from 5 samples (308 financial professionals, 578 employees, 588 management students, 728 employees in South Korea, and 250 employees in Bangladesh) support the convergent and discriminant validities of subscales of the Leader Power Inventory (M. A. Rahim, 1988). (SLD)
Descriptors: Employees, Factor Structure, Foreign Countries, Leadership
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Waller, Niels G.; And Others – Multivariate Behavioral Research, 1991
The structural and external validity of the Tridimensional Personality Questionnaire (TPQ) and the relations among TPQ lower-order and higher-order scales and those of the Multidimensional Personality Questionnaire were examined. Results for 1,236 adults support the TPQ's validity but indicate its failure to operationalize portions of the…
Descriptors: Adults, Comparative Testing, Factor Structure, Multivariate Analysis
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Comrey, Andrew L.; And Others – Multivariate Behavioral Research, 1988
Three methods were used to test the factor structure of the Eysenck Personality Inventory administered to 583 Australians. The preferred method was to extract factors by the minimum residual method, use the Tandem Criteria Method, and then rotate that number of factors by the Tandem Criteria I method. (SLD)
Descriptors: Adults, Factor Analysis, Factor Structure, Foreign Countries
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Tracey, Terence J. G.; And Others – Multivariate Behavioral Research, 1996
The relation of the general factor of the Inventory of Interpersonal Problems (IIP) to several response set and personality measures and the circumplex structure was studied with 105 and 1,093 undergraduates. Results support the general factor of the IIP as having a substantial nonbiasing interpretation and indicative of general interpersonal…
Descriptors: Correlation, Factor Analysis, Factor Structure, Higher Education
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Collins, Linda M.; And Others – Multivariate Behavioral Research, 1986
The present study compares the performance of phi coefficients and tetrachorics along two dimensions of factor recovery in binary data. These dimensions are (1) accuracy of nontrivial factor identifications; and (2) factor structure recovery given a priori knowledge of the correct number of factors to rotate. (Author/LMO)
Descriptors: Computer Software, Factor Analysis, Factor Structure, Item Analysis
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Bernstein, Ira H.; And Others – Multivariate Behavioral Research, 1986
A three subscale inventory designed by Fenigstein, Scheier, and Buss to measure self-consciousness was administered to 297 college students. Fenigstein et al.'s representation was found to fit the data in its original form. Items on the subscales differ nearly as much statistically as they do substantively. (Author/LMO)
Descriptors: College Students, Correlation, Factor Analysis, Factor Structure
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Hoyle, Rick H.; Lennox, Richard D. – Multivariate Behavioral Research, 1991
The latent structure of the Self-Monitoring Scale of M. Snyder (1974) is evaluated by comparing several measurement models suggested by previous factor analysis of the scale using sample data from 1,113 college students. Implications of results are discussed in relation to self-monitoring and the use of factor analysis. (SLD)
Descriptors: College Students, Factor Analysis, Factor Structure, Higher Education
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Porges, Stephen W.; And Others – Multivariate Behavioral Research, 1985
The Illinois Classroom Assessment Profile is a teacher rating scale that is sensitive to behavior disorders exhibited by hyperactive children. The behavioral dimensions represent sustained attention, impulsivity, conduct, fine motor coordination, and evaluative anxiety. The development of the scale and investigations of its factor structure are…
Descriptors: Behavior Disorders, Behavior Rating Scales, Factor Analysis, Factor Structure
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